Paper
18 August 1998 Monitoring severe drought in northern China in 1997 using meteorological satellite remote sensing
Qianguang Xiao, Weiying Chen, Peng Du, Liang Guo
Author Affiliations +
Proceedings Volume 3501, Optical Remote Sensing of the Atmosphere and Clouds; (1998) https://doi.org/10.1117/12.317736
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
During the summer of 1997, the air temperature is the highest in the same periods during recent forty years. On the condition of low precipitation and high evapotranspiration driven by it, severe drought happened in the north of China. Several methods of monitoring summer drought using NOAA meteorological satellite data are described in this paper. When vegetation cover is relatively low, thermal inertia method can be used to monitor drought. However drought often happens in summer, during which vegetation cover is relatively high. In order to solve this problem a new method, called Water Supplying Vegetation Index (WSVI), was developed. This new method detects drought information by combining vegetation with temperature retrieved from NOAA satellite data. The drought range and degree can be obtained using WSVI method. In order to verify these results, the satellite-monitored results are compared with the precipitation anomaly and soil moisture observed by agricultural meteorological stations. Compare indicates a close relationship between remote sensing methods and meteorological observation methods. The remote sensing methods are better than conventional methods in the observation range and accuracy.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qianguang Xiao, Weiying Chen, Peng Du, and Liang Guo "Monitoring severe drought in northern China in 1997 using meteorological satellite remote sensing", Proc. SPIE 3501, Optical Remote Sensing of the Atmosphere and Clouds, (18 August 1998); https://doi.org/10.1117/12.317736
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KEYWORDS
Soil science

Meteorological satellites

Remote sensing

Vegetation

Environmental sensing

Satellites

Agriculture

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